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此外,**I2VGen-XL**的许多设计理念继承于我们已经公开的工作**VideoComposer**,您可以参考我们的[VideoComposer](https://videocomposer.github.io)和本项目的Github代码库了解详细细节
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The **I2VGen-XL** project aims to address the task of generating high-definition videos based on input images. Developed by Alibaba Cloud, the **I2VGen-XL** is a fundamental model for generating high-definition videos. Its core components consist of two stages that address the issues of semantic consistency and clarity, totaling approximately 3.7 billion parameters. The model is pre-trained on a large-scale mix of video and image data and fine-tuned on a small number of high-quality data sets with a wide range of distributions and diverse categories. The model demonstrates good generalization capabilities for different data types. Compared to existing video generation models, **MS-Image2Video** has significant advantages in terms of clarity, texture, semantics, and temporal continuity.
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The **I2VGen-XL** project aims to address the task of generating high-definition videos based on input images. Developed by Alibaba Cloud, the **I2VGen-XL** is a fundamental model for generating high-definition videos. Its core components consist of two stages that address the issues of semantic consistency and clarity, totaling approximately 3.7 billion parameters. The model is pre-trained on a large-scale mix of video and image data and fine-tuned on a small number of high-quality data sets with a wide range of distributions and diverse categories. The model demonstrates good generalization capabilities for different data types. Compared to existing video generation models, **I2VGen-XL** has significant advantages in terms of clarity, texture, semantics, and temporal continuity.
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Additionally, many of the design concepts for **I2VGen-XL** are inherited from our publicly available work, **VideoComposer**. For detailed information, please refer to our [VideoComposer](https://videocomposer.github.io) and the Github code repository for this project.
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<p align="center">
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<img src="assets/image/Fig_twostage.png" style="max-width: none;"/>
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<br/>
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Fig.1 MS-Image2Video
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Fig.1 I2VGen-XL
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<p>
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</center>
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